Anime Recommender System using data gathered from myanimelist.net. This recommender system is based on user ratings for more than 1000 anime and uses matrix factorization and alternating least squares to obtain a dataframe of user recommendations. The query then uses similarity metrics dot product and cosine to gather recommendations for a given query.